A soil-water balance model (SWB) was developed to estimate potential recharge to the Interstate 94 Corridor surficial aquifer, located in central Minnesota, for the period 2010 through 2014. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Furthermore, the model was based upon the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The model was used to estimate recharge to the surficial aquifer system as part of a preliminary water budget exercise described in the associated report (http://dx.doi.org/10.3133/sir20175114).

A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek and others, 2018; https://doi.org/10.3133/tm6A59). The updated model was used to extract potential recharge rates for comparison to recharge rates calculated for two agricultural field sites in southeastern Minnesota, as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2020-5006 (http://dx.doi.org/10.3133/sir20205006). The potential recharge rates were also used to simulate potential recharge rates for all of southeastern Minnesota from 2014-2018. For this model, the land-use grid was updated to the 2011 National Land Cover Database (NLCD); otherwise, the other input datasets and the lookup table were left unaltered from the original model. Daymet (version 3) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v3 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1328.

A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek and others, 2018; https://doi.org/10.3133/tm6A59). The updated model was used to extract potential recharge rates for comparison to recharge rates calculated for two agricultural field sites in southeastern Minnesota, as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2020-5006 (http://dx.doi.org/10.3133/sir20205006). The potential recharge rates were also used to simulate potential recharge rates for all of southeastern Minnesota from 2014-2018. For this model, the land-use grid was updated to the 2011 National Land Cover Database (NLCD); otherwise, the other input datasets and the lookup table were left unaltered from the original model. Daymet (version 3) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v3 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1328.

A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038).

A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038).

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the Mississippi Alluvial Aquifer for 1915 to 2018. The model was calibrated using monthly values of evapotranspiration and annual values of runoff and recharge for 19 drainage basins selected from within or nearby the Mississippi Alluvial Aquifer system. The calibrated SWB model and its use are described in the associated U.S. Geological Survey Open-File Report 2021-1008. The model was used to create output at two different scales: 1,609-meter and 1,000-meter grid cells. Also included are files used to generate a high-resolution (100-meter) subset of output for an area near Shellmound, Mississippi. The directory structure of the model archive contains all of the files needed to document and run the model for a short example time period. This archive *does not* include all daily weather data drivers needed to replicate the model output; those files consume tens of gigabytes of storage space and are available elsewhere on the Internet (sources and online links to these data are provided in the source information section of the metadata). The directories in the archive are presented each as a separate .zip file and include a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the Mississippi Alluvial Aquifer for 1915 to 2018. The model was calibrated using monthly values of evapotranspiration and annual values of runoff and recharge for 19 drainage basins selected from within or nearby the Mississippi Alluvial Aquifer system. The calibrated SWB model and its use are described in the associated U.S. Geological Survey Open-File Report 2021-1008. The model was used to create output at two different scales: 1,609-meter and 1,000-meter grid cells. Also included are files used to generate a high-resolution (100-meter) subset of output for an area near Shellmound, Mississippi. The directory structure of the model archive contains all of the files needed to document and run the model for a short example time period. This archive *does not* include all daily weather data drivers needed to replicate the model output; those files consume tens of gigabytes of storage space and are available elsewhere on the Internet (sources and online links to these data are provided in the source information section of the metadata). The directories in the archive are presented each as a separate .zip file and include a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016. The model was calibrated using annual values of runoff, evapotranspiration, and baseflow for eight watersheds in the basin. The Harney Basin SWB model was used to create output at the scale of 1-kilometer grid cells. The simulations were used to create daily grids of potential recharge. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2021–5128 (Garcia and others, 2022). The directory structure of the model archive contains all the files needed to document and run the model. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016. The model was calibrated using annual values of runoff, evapotranspiration, and baseflow for eight watersheds in the basin. The Harney Basin SWB model was used to create output at the scale of 1-kilometer grid cells. The simulations were used to create daily grids of potential recharge. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2021–5128 (Garcia and others, 2022). The directory structure of the model archive contains all the files needed to document and run the model. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.

This model archive provides input and output for Soil-Water-Balance (SWB) models developed for the Central Sands Lake study in central Wisconsin; this archive supplements the technical appendix in a report to the Wisconsin State Legislature written by the Wisconsin Department of Natural Resources (WDNR) in response to 2017 Wisconsin Act 10. This legislation directed DNR to determine whether existing and potential groundwater withdrawals are causing or are likely to cause significant reduction of mean seasonal water levels at Pleasant Lake, Long Lake, and Plainfield Lake (s. 281.34(7m)(2)(b), Wis. Stats.) in Waushara County, Wisconsin. The Soil-Water-Balance code (Westenbroek and others, 2018) partitions precipitation into rainfall and snowmelt, simulates the change in soil moisture within the root zone of crops and other vegetation, and estimates potential crop irrigation water requirements based on the needs of the vegetation. The amount of water escaping the root zone of plants (net infiltration or potential recharge) and the estimated crop water demand were fed into a related groundwater flow model in order to evaluate how landscape-level changes in crop type and irrigation requirements end up affecting groundwater and lake levels over time. The associated groundwater flow model is contained in a separate ScienceBase archive (https://doi.org/10.5066/P9BVFSGJ). The period of 2012-2018 was used for parameter estimation (synonymously referred to as "history matching") for the groundwater models. This time period was chosen because it includes the most complete water use records to simulate groundwater withdrawals. The SWB2 model run for this period (called 'regional' under the directory that contains simulation scenarios, run at a resolution of 100m) was used to supply only net infiltration (potential recharge) values to the groundwater flow model. History matching was performed using groundwater elevations, lake stages, and streamflow observations over the 2012-2018 time period and processed observations derived from those raw data. A set of lower-resolution (200m) scenario runs were made to support the WDNR in their charge to evaluate the impact of water withdrawals on lake elevations. Three scenarios were created, driven by daily weather data as estimated by PRISM data (PRISM Climate Group, 2020) spanning the period 1981 to 2018. These scenarios, although based on real daily weather data, rely on three synthetic sets of input data and therefore should not be viewed as representing any specific time period. The scenarios represent: 1) 'current irrigation', in which land-use patterns and irrigation mask inputs are statistically generated based on the current frequency of crop rotations; 2) 'no irrigation, pre-development land-use', in which agricultural lands are converted to some non-irrigated agriculture or other non-agricultural land-use; 3) 'full development', where all lands with potential use for agricultural purposes (appropriate drainage and slope, for example) are converted to land-use and irrigation masks in a manner similar to scenario 1 development. The assumptions behind the scenario generation are detailed in Fienen and others, 2021.